Overview Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples.Beginner projects focus on logic ...

The AI models, developed under an initiative called Project Eagle, promise to deliver better forecasts using less ...

It's possible to build a simple Python CLI weather app in a weekend using geopy, requests, and the NWS JSON API. Use geopy's Nominatim to get latitude and longitude, then query NWS endpoints for ...

An expert in computational linguistics, Dan Loehr gave a talk at Bowdoin on how AI is and can be used to address climate change by mitigating emissions from carbon-intensive sectors, modeling climate ...

There are a lot of options for local weather stations; most of them, however, are sensors tied to a base station, often requiring an internet connection to access all features. [Vinnie] over at ...

Agrilever, a pioneering agritech firm empowering smallholder rice farmers in the Philippines, has partnered with global weather intelligence leader Tomorrow.io to bring hyperlocal, AI-powered ...

SAS, a leader in data and AI, has announced the champions of the 2025 SAS Hackathon across 24 regional, industry, technology ...

Deepa Bhadana is a researcher in genetics, plant breeding, and biotechnology with expertise that spans field trials, molecular marker technologies, bioinformatics, and AI-driven agriculture.

A new S&P Global Energy report highlights how explosive AI demand is making the physical electricity grid the single biggest ...

NOAA is using those traditional forecasting models as frameworks for its new AI forecasting systems. The agency has estimated ...

The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...

Combining artificial intelligence with a conventional climate model can predict heatwaves faster than the standard model ...